Author:
Suleyman Kondakci
Affiliation:
Izmir University of Economics, Turkey
Keyword(s):
Signal Reconstruction, Evoked Potentials, Semi–digital Signal Processing, Simulation, Implementation.
Related
Ontology
Subjects/Areas/Topics:
Engineering Applications
;
Informatics in Control, Automation and Robotics
;
Instrumentation Networks and Software
;
Intelligent Control Systems and Optimization
;
Robotics and Automation
;
Signal Processing, Sensors, Systems Modeling and Control
;
Signal Reconstruction
Abstract:
Noise, found in all types of instrumentation and signal processing systems, has been a great challenge to
tackle, especially, in biomedical signal processing tasks. Often, low-frequency and low power measurement
signals are used in biomedical signal applications. This work is aimed at modeling and developing a simple,
efficient, and inexpensive front end signal conditioner applying the cowpox approach to low-power analog
signal measurements. We focus here on the simulation and implementation of a signal conditioner for the
evaluation of its feasibility and efficiency based on the cost and accuracy constraints. As briefly outlined
below, this article can serve as a model for facilitating the construction of semi–digital filters that can be
applied to denoising of signals with low-frequency and very weak amplitude levels.